The world is facing severe challenges in meeting the rapidly growing demand for water resources. In addition,irrigation water which is the largest use of water in most developing countries and arid and semi arid regions, will likelyhave to be diverted increasingly to meet the needs of the households in urban areas and industry sectors whilst remaining aprime engine of agricultural growth. A Lin...

the normalized difference vegetation index (ndvi) derived from the spot 4 satellite has been widely used to monitor moisture-related vegetation condition. the relationship between vegetation and climate index, however, is complex and has not been adequately studied with satellite sensor data. to better understand this relationship, an analysis was conducted on time series of monthly ndvi (1999–...

This study is aimed at a better understanding of how upstream runoff formation affected the cropping intensity (CI: number of harvests) in the Aral Sea Basin (ASB) between 2000 and 2012. MODIS 250 m NDVI time series and knowledge-based pixel masking that included settlement layers and topography features enabled to map the irrigated cropland extent (iCE). Random forest models supported the clas...

Understanding drought from multiple perspectives is critical due to its complex interactions with crop production, especially in India. However, most studies only provide singular view of drought and lack the integration with specific crop phenology. In this study, four time series of monthly meteorological, hydrological, soil moisture, and vegetation droughts from 1981 to 2013 were reconstruct...

The Barind region of Bangladesh suffers from frequent drought due to poor and delayed rainfall in pre monsoon and monsoon season. In the present study details analysis of rainfall data has been carried out for the years 1971-2010. Two well known drought indices, Standard precipitation index (SPI) has been used to evaluate the precipitation deficit, and Markov chain model used to quantify the dr...